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Record W7117293961 · doi:10.1093/pubmed/fdaf161

Gas stove and respiratory health: a cross-sectional study and a cohort study in Denmark, 2000–2018

2025· article· en· W7117293961 on OpenAlexaff
Stine Kloster, A M Kirkegaard, Michael Davidsen, A I Christensen, N S Nielsen, J Vestbo, A K Ersbøll

Bibliographic record

VenueJournal of Public Health · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsInstitute of Infection and Immunity
FundersRealdania
KeywordsStoveAsthmaRespiratory systemCohort studyEpidemiologyCohort

Abstract

fetched live from OpenAlex

BACKGROUND: Knowledge on gas stove and adult respiratory health is limited. We studied the association between having a gas stove or not and respiratory health using cross-sectional and cohort designs. METHODS: Information on gas stove and respiratory symptoms (e.g. bronchitis, asthma, cough) was obtained from the Danish Health and Morbidity Survey year 2000 (aged ≥ 16 years, n = 3491). Odds ratios (ORs) of respiratory symptoms were estimated by Logistic regressions. In the cohort study, 3444 asthma-free individuals were followed for up to 18 years, with incident asthma identified via Danish National Registers. Incidence rate ratios (IRRs) were estimated by Poisson regression of incidence rates (IRs). RESULTS: Overall, 13.9% of participants had a gas stove. Respiratory symptoms ranged from 3.0% (bronchitis) to 12.1% (cough). The odds were significantly higher for bronchitis (OR 1.90; 95% CI, 1.15-3.14), cough (OR 1.46; 95% CI, 1.11-1.91), and shortness of breath (OR 1.89: 95% CI, 1.30-2.77) among participants with gas stoves compared to participants without. In the cohort study the overall IR of asthma was 6.1 per 1000 person-years. The adjusted IRR of asthma was 1.19 (95% CI, 0.78-1.80). CONCLUSIONS: Having a gas stove was associated with higher risk of certain respiratory symptoms and indicated an increased asthma incidence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.350
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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